AEO keyword win for a global data leader
Position 3 organic ranking and primary AI Overview citation within two weeks, beating sites with vastly higher domain authority.
The brief
The client was a global leader in the redistribution of pricing and reference data for financial markets, looking to establish thought leadership around economic analysis. Their goal was to capture high-intent search traffic from users looking for guidance on economic evaluation methodology, with that traffic feeding into bookings for their economic data consultancy.
The space they were operating in is fairly unforgiving. There's severe competition for the small pool of keywords that even exist, with top SERP positions dominated by sites like the World Bank and Investopedia. On top of that, long-tail volume wasn't going to scale either as those queries barely exist (with volume) in financial data searches on Google. Because of all this, we needed to find 'a route around' the major players.
The approach
Before thinking about any new content, I ran a technical SEO audit that surfaced several issues already costing the client performance in search. Parameter-based duplicate URLs were cluttering the crawl paths, which I cleaned up through robots.txt directives and proper canonical implementation. The internal linking structure also needed remapping so that all key content lived within three clicks of the homepage, which improved crawl depth across the site. On the rendering side, non-essential scripts were deferred and Largest Contentful Paint scores were improved through PageSpeed Insights recommendations. Non-indexable and redirecting URLs were pruned from content and tag subfolders, and the sitemap was split into logical content types for enhanced monitoring and crawl efficiency.
With the technical foundation set, I started mapping out keywords with both search and AEO potential. The thinking was that since the client had strong trust signals through their data and expertise, but not the domain authority to consistently beat sites like the World Bank in classical SERPs, we should go for keywords where there was a chance to 'slip inside' AI Overviews.
Answer engines like ChatGPT, Claude, Perplexity, Gemini, etc, operate on a logic where direct relevance and clear answer structure seem to carry more weight vs traditional SERPs. Hence, the first content piece targeted "how to analyze a country's economy", a query with solid search volume but hard KD - with many of the big players like Investopedia taking up the top organic positions - but I presumed it could have manageable competition at the AI Overview layer. I produced a topical brief that laid out the full territory for the client to build their article around.
The brief identified the query as informational intent (the type most likely to trigger a GenAI snippet) and recognised that users wanted clear step-by-step methodology with practical examples. I structured the recommended content to match the way people naturally answer the question, including a competitive analysis showing what the top 10 results were already covering and where the gaps were (for information gain). On top of that, the brief specified referencing official sources (World Bank, IMF, government statistics), citing academic research and economic reports, including data visualisations and case studies, and ensuring authors were properly credited for E-E-A-T signalling.
The result
The article launched in January 2026 and reached position 3 in organic results within two weeks. By that point it had also picked up the primary citation in Google's AI Overview for the query, with ChatGPT also pulling from it as a source for related broad-match queries.
By month 3 the post had grown its clicks by 980% over month 1, and its impressions by 890%. This made it the single biggest contributor to search traffic on the site outside of the core service and about pages.
The most interesting part was the comparative performance, since the top two organic results for the keyword were the World Bank and Investopedia, both of which carry domain authority well beyond anything my client could reach through traditional SEO. Yet visibility data from Semrush showed the client's article driving more clicks from the keyword than either of them, through being featured in the AI Overview as the primary citation.
Small players can find more leverage in the age of AI Overviews than they could in the classical SERP. I'm now applying the same approach across more queries in the client's landscape, looking for the opportunities where direct answer relevance and structured pages can beat traditional authority for the most visibility.
Reflections
This case study brings a couple of interesting points to light.
The first is that the advent of '0-click searches' and gradual disappearance of organic SERP real estate does present new opportunities, and smaller sites who think and execute strategically can capitalise on these opportunities. In this case, being featured in the AI snippet allowed a lower authority site to bypass traditional authority barriers and drive more clicks than the top organic players.
The second is that, while almost everyone in the SEO world scrambles to catch up with AEO, its worth remembeting the visibility in AI overviews and LLM engines is still dependent on the same technical SEO foundations as before. It's just that this time there is even more emphasis on schema validity, crawl efficiency, internal architecture, entity disambiguation, et al. Treating it as a separate discipline misses the point. The technical SEO work in the first phase of this project was definitely a prerequisite for the results that came after it.